LangSmith guide covers fine-tuning LLaMA2 and GPT-3.5

LangChain published a guide on fine-tuning and evaluating LLMs with LangSmith, using LLaMA2-7b-chat and gpt-3.5-turbo for knowledge graph triple extraction. It covers dataset management, training on CoLab and HuggingFace, and evaluation via LangSmith.
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